Paper Citation Record · LEDGER

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection

As of 13 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2508.14980.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.14980 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:14:42.674457Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy14
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d4cc3e1-55b0-47f1-b4d9-d6b22b0123a7 · outbound

This paper cites Unified physical-digital attack detection chal- lenge.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Unified physical-digital attack detection chal- lenge

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:45.089487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 161c9b23-b1e4-4eb4-b7fd-b942a1416bc9 · outbound

This paper cites Benchmarking joint face spoofing and forgery detection with visual and physiological cues.IEEE Transactions on Dependable and Secure Computing, 21(5): 4327–4342, 2024.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Benchmarking joint face spoofing and forgery detection with visual and physiological cues.IEEE Transactions on Dependable and Secure Computing, 21(5): 4327–4342, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:44.953644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f6d45470-e2a6-49db-8b35-7d7accca4a2d · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T18:14:40.734975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9efdf0f4-79e0-433e-a7b9-a0a6f9e017b9 · outbound

This paper cites Bio- metric face presentation attack detection with multi-channel convolutional neural network.IEEE transactions on infor- mation forensics and security, 15:42–55, 2019.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Bio- metric face presentation attack detection with multi-channel convolutional neural network.IEEE transactions on infor- mation forensics and security, 15:42–55, 2019

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:44.760080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 266b8765-4900-4330-8141-eb08ee0bcca3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T18:14:41.000849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd16e83b-ca36-4285-85d6-e637a86b6c25 · outbound

This paper cites Forgery-aware adaptive learning with vision transformer for generalized face forgery detection.IEEE Transactions on Circuits and Systems for Video Technology, 2024.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Forgery-aware adaptive learning with vision transformer for generalized face forgery detection.IEEE Transactions on Circuits and Systems for Video Technology, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:44.625307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9d31a2d5-3a1d-4480-b043-5573650655fc · outbound

This paper cites Laa-net: Localized artifact attention network for quality-agnostic and generalizable deepfake de- tection.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Laa-net: Localized artifact attention network for quality-agnostic and generalizable deepfake de- tection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:44.456437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 003d9a29-39df-4b14-b1e9-cc87d6c59880 · outbound

This paper cites Trufor: Leveraging all-round clues for trustworthy image forgery detection and localiza- tion.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Trufor: Leveraging all-round clues for trustworthy image forgery detection and localiza- tion

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T18:14:41.346375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06edd40f-17de-4494-a775-e9f2ff4f1cfd · outbound

This paper cites Implicit identity leakage: The stum- bling block to improving deepfake detection generalization.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Implicit identity leakage: The stum- bling block to improving deepfake detection generalization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:44.318841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b3b1998b-de0c-4342-853f-776295167263 · outbound

This paper cites Detecting deep- fakes with self-blended images.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Detecting deep- fakes with self-blended images

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:44.127922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dea6cc93-f62c-4c58-aa74-d68636dee50d · outbound

This paper cites Implicit identity driven deepfake face swapping detection.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Implicit identity driven deepfake face swapping detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:43.998688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9a706692-8c3b-4e4a-b6a2-c410012f99a4 · outbound

This paper cites Faceforen- sics++: Learning to detect manipulated facial images.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Faceforen- sics++: Learning to detect manipulated facial images

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:43.857472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8d24bca9-0956-469c-b336-fccad8990bfe · outbound

This paper cites Celeb-df: A large-scale challenging dataset for deep- fake forensics.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Celeb-df: A large-scale challenging dataset for deep- fake forensics

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:43.693652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1ec7e185-e745-4e1f-b071-41e17eae1585 · outbound

This paper cites The DeepFake Detection Challenge (DFDC) Dataset.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection The DeepFake Detection Challenge (DFDC) Dataset

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T18:14:41.974082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a32f5681-afe9-497a-956f-9f28d28cc768 · outbound

This paper cites Wilddeepfake: A challenging real-world dataset for deepfake detection.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Wilddeepfake: A challenging real-world dataset for deepfake detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:43.549264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50d9f9da-83e4-424f-a57e-9bdc5e6635be · outbound

This paper cites Unified de- tection of digital and physical face attacks.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Unified de- tection of digital and physical face attacks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:43.451618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e2289dec-c0c5-4185-b1b3-9a56a9a489f8 · outbound

This paper cites Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T18:14:42.193505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 907e3f77-0904-47cf-bb08-0de6ca2b230b · outbound

This paper cites Joint face detection and alignment using multi-task cascaded convolutional networks.IEEE Signal Processing Letters, 23 (10):1499–1503, 2016.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Joint face detection and alignment using multi-task cascaded convolutional networks.IEEE Signal Processing Letters, 23 (10):1499–1503, 2016

Reference 18

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T18:14:43.010421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f150cf5a-ffc0-4086-a596-3ddb28c15301 · outbound

This paper cites Focal loss for dense object detection.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Focal loss for dense object detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:43.343392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8c3e36a4-0f8b-44d2-823f-3d08cf834d60 · outbound

This paper cites Supervised Contrastive Learning.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Supervised Contrastive Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T18:14:42.476566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21f3637a-ba81-4a7c-83b0-cfbe45129002 · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoen- coders.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Convnext v2: Co-designing and scaling convnets with masked autoen- coders

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T18:14:42.567874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3cd7aa3-600f-4166-b724-cf640d9c38ac · outbound

This paper cites Imagenet: A large-scale hierarchical im- age database.

Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection Imagenet: A large-scale hierarchical im- age database

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:14:43.168315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.